Battushig Myanganbayar

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Battushig Myanganbayar trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Luke S. Zettlemoyer
  2. Mark Steedman

Papers from Battushig Myanganbayar's perspective

Ordered by how strongly the researchers Battushig Myanganbayar trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. VQA: Visual Question Answering
  3. ImageNet classification with deep convolutional neural networks
  4. Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars
  5. Semantic Parsing on Freebase from Question-Answer Pairs
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. Learning to Interpret Natural Language Navigation Instructions from Observations
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers